The evolution of lipidomics through space and time.
The evolution of lipidomics through space and time.
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DOI：
10.1016/j.bbalip.2017.04.006
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发表时间：
2017-08
期刊：
影响因子：
--
通讯作者：
Gross RW
中科院分区：
文献类型：
--
作者：
Gross RW
尽管基于质谱的脂质组学的基础已经实践了30多年，但最近电离模式的技术进步以及质量精度和分辨率的强劲增长极大地加速了脂质组学领域的出现、发展和重要性。此外，分离科学，生物信息学策略和强大数据库的可用性的进步已经协同整合到现代脂质组学技术中，导致脂质组学分析的深度，外显性和精度的前所未有的提高，并确定其生物学和机械意义。这篇“观点”文章的目的是简要回顾脂质组学的发展，批评已经发展的平台，并确定未来几年可能出现的领域。通过无缝整合丰富的质谱、化学和生物信息学策略，可以获得数万至数十万种不同脂质分子种类的化学特性和数量，以及它们在生理或病理生理扰动期间的代谢变化。因此，脂质组学领域已经在许多疾病状态中有着令人兴奋的新发现的杰出历史，在化学水平上确定脂质在健康和疾病中的多效性作用具有无与伦比的潜力。本文是Sepp Kohlwein编辑的《BBALIP_Lipidomics观点文章》特刊的一部分。
Although the foundations of mass spectrometry-based lipidomics have been practiced for over 30 years, recent technological advances in ionization modalities in conjunction with robust increases in mass accuracy and resolution have greatly accelerated the emergence, growth and importance of the field of lipidomics. Moreover, advances in the separation sciences, bioinformatic strategies and the availability of robust databases have been synergistically integrated into modern lipidomic technologies leading to unprecedented improvements in the depth, penetrance and precision of lipidomic analyses and identification of their biological and mechanistic significance. The purpose of this "opinion" article is to briefly review the evolution of lipidomics, critique the platforms that have evolved and identify areas that are likely to emerge in the years to come. Through seamlessly integrating a rich repertoire of mass spectrometric, chemical and bioinformatic strategies, the chemical identities and quantities of tens of thousands to hundreds of thousands of different lipid molecular species and their metabolic alterations during physiologic or pathophysiologic perturbations can be obtained. Thus, the field of lipidomics which already has a distinguished history of exciting new discoveries in many disease states holds unparalleled potential to identify the pleiotropic roles of lipids in health and disease at the chemical level. This article is part of a Special Issue entitled: BBALIP_Lipidomics Opinion Articles edited by Sepp Kohlwein.
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影响因子：
3.3
作者：
Patti, G. J.;Shriver, L. P.;Wassif, C. A.;Woo, H. K.;Uritboonthai, W.;Apon, J.;Manchester, M.;Porter, F. D.;Siuzdak, G.
通讯作者：
Siuzdak, G.
影响因子：
2.9
作者：
Han, XL;GubitosiKlug, RA;Gross, RW
通讯作者：
Gross, RW
影响因子：
7.4
作者：
Ekroos, K;Chernushevich, IV;Shevchenko, A
通讯作者：
Shevchenko, A
影响因子：
2.9
作者：
Han, XL;Yang, JY;Gross, RW
通讯作者：
Gross, RW
影响因子：
7.4
作者：
Mahieu NG;Spalding JL;Gelman SJ;Patti GJ
通讯作者：
Patti GJ